Dine and Learn: AI & EM Based Characterization and Design Optimization of Efficient and Renewable Energy Conversion Systems
The Denver Section would like to invite you to join us for the latest presentation in our Dine and Learn series!
Come join your fellow IEEE members and local engineers for a fun-filled evening of appetizers, networking, and dinner, while we discover exciting new innovations in technology. Once a month one of your local Denver IEEE Societies will host the event and bring in a unique speaker related to their field to present. This provides you, our members, with a unique opportunity to explore and learn about exciting new technologies being developed around you. Early on in the evening, you’ll also have ample opportunity to mingle with your fellow engineers and colleagues delving into a broad range of technical expertise.
We will provide the appetizers, but dinner is at your own expense. Dinner for students is free.
If there is a specific speaker or topic you find interesting please let us know and we will try to accommodate it in the schedule.
December: Skip it
Jan: Ernest Worthman
Date and Time
- Date: 12 Nov 2019
- Time: 06:00 PM to 08:30 PM
- All times are US/Mountain
- Add Event to Calendar
- 10633 Westminster Blvd
- Westminster, Colorado
- United States 80020
- Building: Rock Bottom Brewery
- Room Number: in the "Promenade Room"
- Click here for Map
- Co-sponsored by Denver Section
- Starts 29 October 2019 08:10 PM
- Ends 12 November 2019 06:00 PM
- All times are US/Mountain
- No Admission Charge
Abd A. Arkadan
AI & EM Based Characterization and Design Optimization of Efficient and Renewable Energy Conversion Systems
Much research is centered on designing efficient energy conversion systems to respond to energy needs and to secure an environmentally friendly and green economy. This presentation includes an overview of a design process and case studies involving the use of Finite Element based computational electromagnetics (EM) modules needed for the characterization and design optimization of efficient and renewable energy conversion systems and devices. As can be appreciated, optimization algorithms require a large number of design points generated from EM characterization modules in order to characterize the search space over a wide range of design vectors. In our work, Artificial Intelligence (AI) algorithms are utilized to reduce computational time requirements and to exploit the large degree of uncertainty in system characteristics in order to achieve fast, accurate, robust, low-cost solutions based on some knowledge of performance.
Before joining the Colorado School of Mines in 2016, Dr. Arkadan was a Professor at Marquette University, Milwaukee WI. He also served as Professor and President of Rafik Hariri University, Lebanon (2004-2014). He received his Bachelor of Science from the University of Mississippi, Oxford, MS, his Master of Science from Virginia Tech, Blacksburg, VA, and his Ph.D. from Clarkson University, Potsdam, NY, all in Electrical Engineering. His research interests are in Energy Conversion, Electric Machines and Drives, and Design Optimization using Computational Electromagnetics and Artificial Intelligence. Applications emphasize Renewable and Efficient Energy and Power Systems, Micro-grids, Onboard Aerospace, and Marine Power Systems, and Hybrid Electric Vehicles. Dr. Arkadan is the author of over 100 technical papers. In addition, he secured funding of over $2.5 M for research projects from both private and government sources, such as the National Science Foundation, the US Office of Naval Research, Sundstrand Aerospace, and GM-Delphi, among others. He is a Fellow of IEEE and ACES. Dr. Arkadan chaired several international conferences and he is the incoming General Chair of ACES Conference (Monterey CA; April 2020); IEEE GreenTech (Denver CO; April 2021); and IEEE CEFC 2022 (Denver CO; October 2022). In addition, Dr. Arkadan served as Editor-in-Chief for IEEE Transactions on Magnetics June 2017 Special Issue and chaired several editorial boards.
6:00 - 6:15 Registration and Appetizers
6:00 - 7:00 Dinner and Networking
7:00 - 8:30 Presentation